MacBook Pro (16-inch, 2021)
Geekbench AI Score
3624
Single Precision Score
5632
Half Precision Score
4630
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | toothpaste |
| Upload Date | November 26 2024 02:09 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B91) |
| Model | MacBook Pro (16-inch, 2021) |
| Model ID | MacBookPro18,2 |
| Motherboard | MacBookPro18,2 |
| CPU Information | |
|---|---|
| Name | Apple M1 Max |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M1 Max |
| Base Frequency | 3.05 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1384
257.4 IPS |
|
|
Image Classification (HP)
|
100% |
2020
375.7 IPS |
|
|
Image Classification (Q)
|
96% |
1471
274.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1534
24.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2267
36.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2606
42.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
10826
12.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
20451
23.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
16263
19.1 IPS |
|
|
Object Detection (SP)
|
100% |
1492
118.4 IPS |
|
|
Object Detection (HP)
|
97% |
2287
182.0 IPS |
|
|
Object Detection (Q)
|
94% |
1709
136.2 IPS |
|
|
Face Detection (SP)
|
100% |
3083
36.6 IPS |
|
|
Face Detection (HP)
|
100% |
5224
62.1 IPS |
|
|
Face Detection (Q)
|
100% |
3074
36.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5549
42.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
10624
82.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
7101
55.5 IPS |
|
|
Style Transfer (SP)
|
100% |
21928
28.2 IPS |
|
|
Style Transfer (HP)
|
100% |
33566
43.1 IPS |
|
|
Style Transfer (Q)
|
96% |
27011
34.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4180
154.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6039
223.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3905
144.2 IPS |
|
|
Text Classification (SP)
|
100% |
2279
3.04 KIPS |
|
|
Text Classification (HP)
|
100% |
3905
5.21 KIPS |
|
|
Text Classification (Q)
|
93% |
3914
5.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
3191
55.0 IPS |
|
|
Machine Translation (HP)
|
98% |
3418
59.1 IPS |
|
|
Machine Translation (Q)
|
98% |
4718
81.5 IPS |
